This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.
The book assumes basic mathematical and statistics knowledge but also provides a handy refresher guide, so that you can develop your understanding and progress confidently. It also:
· Equips you with the tools to both interpret and apply spatial statistical methods
· Engages with the unique considerations that apply when working with geographic data
· Helps you build your knowledge of key spatial statistical techniques, such as methods of geographic cluster detection.
€54.99
Table des matières
Chapter 1: Introduction to spatial statistical methods for geographyChapter 2: A quick review of some key material from introductory statistics
Chapter 3: Selected measures for descriptive spatial statistical analysis
Chapter 4: Statistical inference and spatial patterns
Chapter 5: Global tests
Chapter 6: Local tests
Chapter 7: Tests for the detection of clustering: scan tests
Chapter 8: Spatial means, spatial models, and spatial regression
A propos de l’auteur
Peter A. Rogerson is SUNY (State University of New York) Distinguished Professor in the Department of Geography at the University at Buffalo, Buffalo, New York, USA. He also holds an adjunct appointment in the Department of Biostatistics.Achetez cet ebook et obtenez-en 1 de plus GRATUITEMENT !
Langue Anglais ● Format EPUB ● Pages 256 ● ISBN 9781529756333 ● Taille du fichier 9.5 MB ● Maison d’édition SAGE Publications ● Lieu London ● Pays GB ● Publié 2021 ● Édition 1 ● Téléchargeable 24 mois ● Devise EUR ● ID 7774436 ● Protection contre la copie Adobe DRM
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